Position Title
Postdoctoral Position In Computational Psychiatry (Real-World Applications of AI and Machine Learning on Health Data)
Competition 949
Position Summary
The successful applicants will play a leadership role for several research projects in computational psychiatry, develop and participate in preparation of research grant proposals, assist in the supervision and training of other personnel including technologists, graduate students, other lab members and scientific collaborators. The successful applicant will also have the opportunity to work directly with our partners in Ministries of Alberta Government, Alberta Health Services (AHS) and Canadian Mental Health Association Edmonton, as well as international partners. The ideal applicant will exhibit a high level of motivation to pursue data-driven research in mental disorders, to publish in excellent peer-reviewed journals, and to seek prestigious fellowships and research awards, as appropriate.
The successful applicants will have the opportunity of supervised access to several public and government/institution owned datasets, including large (over 4 million people) de-identified health data from Alberta. In this context, there are excellent opportunities for shared mentorship and collaboration with several PIs in psychiatry and computing science, including the Alberta machine intelligence institute (Amii).
The successful applicants will participate and lead research that applies advanced statistical, AI and ML techniques to large populational health data of patients with mental and substance use disorders. Current and potential projects include two main directions: 1) Individualized prediction of mental and substance use disorders and overdoses and associated health and economical outcomes in the population using health, survey and biological data; 2) Implementation of ML models through interactions with multiple stakeholders and people with living and lived experiences.
Qualifications
Previous experience in structured and/or unstructured large-scale health data, a vision in future precision and personalized mental health, strong scientific writing and communication skills and capability to work collaboratively in an interdisciplinary team and dynamic environment are desired.
Applicants must possess a doctoral degree (PhD or MD/PhD) in relevant disciplines, such as computer science, mathematics, neuroscience, physics, psychiatry, psychology or statistics.
Clinical or health research experience and strong coding or analytical skills are required.
Fluency in English is a requirement and for applicants who did not complete training in an accredited English language institution, IELTS scores will normally be required as evidence of proficiency.
Benefits (Funding)
The positions are available immediately and funding is sufficient to support the initial position for at least two years. The stipend will be commensurate with the experience of the successful candidate.
This position offers a benefits package found at Postdoctoral Fellows Benefits.
Application Deadline
Open until filled.
